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  • © 2006

Intelligent Decision-making Support Systems

Foundations, Applications and Challenges

  • First book in intelligent systems to focus on the applications of these technologies on real organisational structures
  • Previously published books have had a technical and computer science basis

Part of the book series: Decision Engineering (DECENGIN)

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Table of contents (24 chapters)

  1. Front Matter

    Pages i-xxiii
  2. Foundations of Intelligent Decision-making Support Systems

    1. Front Matter

      Pages 1-1
    2. A Multicriteria Model for the Evaluation of Intelligent Decision-making Support Systems (i-DMSS)

      • Gloria Phillips-Wren, Manuel Mora, Guisseppi A. Forgionne, Leonardo Garrido, Jatinder N. D. Gupta
      Pages 3-24
    3. Explanatory Power of Intelligent Systems

      • Robbie T. Nakatsu
      Pages 123-143
  3. Applications of Intelligent Decision-making Support Systems

    1. Front Matter

      Pages 145-145
    2. A Simulation Study of Just-in-time Knowledge Management (JITKM)

      • Nabie Y. Conteh, Guisseppi A. Forgionne
      Pages 187-197
    3. An IDSS for Regional Aquaculture Planning

      • Omar F. El-Gayar, Kanchana Tandekar
      Pages 199-218
    4. e-Negotiation Systems and Software Agents: Methods, Models, and Applications

      • Peter Braun, Jakub Brzostowski, Gregory Kersten, Jin Baek Kim, Ryszard Kowalczyk, Stefan Strecker et al.
      Pages 271-300
    5. The Application of Semantic Web Technologies for Railway Decision Support

      • Jinwei Lu, Clive Roberts, Karl Lang, Alan Stirling, Keith Madelin
      Pages 321-337

About this book

Decision-making Support Systems (DMSS) are computer-based systems that support individual or organisational decision-making processes. Recent advances in information technology and artificial intelligence are enhancing these systems and giving rise to intelligent-DMSS.

This is the first book to provide integrated coverage of the technical aspects of intelligent Decision-Making Support Systems together with discussion of their application and evaluation in organisational structures.

The book brings together up-to-date information on the theory and application of i-DMSS. Readers will learn about the foundations, architectures, methods and strategies for successfully designing, developing, implementing, and evaluating i-DMSS.

This book will be of value to researchers in AI and management studies interested in the latest thinking in decision-making, as well practising managers and consultants who are involved with putting advanced information technologies into practice in organisations.

Authors and Affiliations

  • College of Administrative Science, The University of Alabama in Huntsville, Huntsville, USA

    Jatinder N. D. Gupta

  • Information Systems Department, University of Maryland Baltimore County, Catonsville, USA

    Guisseppi A. Forgionne

  • Department of Information Systems, Autonomous University of Aguascalientes, Aguascalientes Ags., México

    Manuel Mora T.

About the authors

Professor Jatinder N. D. Gupta is currently Eminent Scholar of Management of Technology, Professor of Management Information Systems, Industrial and Systems Engineering and Engineering Management, and Chairperson of the Department of Accounting and Information Systems at the University of Alabama in Huntsville, Huntsville, Alabama. He holds a PhD in Industrial Engineering (with specialization in Production Management and Information Systems) from Texas Tech University. Dr. Gupta serves on the editorial boards of several national and international journals. Recipient of the Outstanding Faculty and Outstanding Researcher awards from Ball State University, he has published numerous papers many journals. He was also editor of the book Decision Making Support Systems: Achievements and Challenges for the New Decade (Idea Group Publishing, 2002). His current research interests include e-commerce, supply chain management, information and decision technologies, scheduling, planning and control, organizational learning and effectiveness, systems education, knowledge management, and enterprise integration.

Guisseppi A. Forgionne is Professor of Information Systems at the University of Maryland Baltimore County (UMBC). Professor Forgionne holds a B.S. in Commerce and Finance, an M. A. in Econometrics, an M. B. A., and a Ph. D. in Management Science and Econometrics. He has published 25 books and approximately 150 research articles and consulted for a variety of public and private organizations on decision support systems theory and applications. Professor. Forgionne also has served as department chair at UMBC, Mount Vernon College, and Cal Poly Pomona. He has received several national and international awards for his work.

Manuel Mora is an associate professor of the Information System Department at the Autonomous University of Aguascalientes (UAA). He holds a Dr. in Engineering degree from the Engineering School in UNAM, Mexico (largest research university in Mexico). He also received his BSc and MSc degrees in Computer Systems and Artificial Intelligence from the Monterrey Tech (ITESM). His main research interest is the design and implementation of traditional and intelligent Decision Making Support Systems (DSS, EIS and ES/KBS) from a systemic and cybernetic perspective.

Bibliographic Information

Buy it now

Buying options

eBook USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access